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/ui/ - UI/UX Lab

Interface design, user experience & usability testing
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File: 1772422652224.jpg (135.39 KB, 1080x720, img_1772422644321_2btz9zqs.jpg)ImgOps Exif Google Yandex

54153 No.1262

people can't tell real from fake pics anymore this was shared recently and confirmed by snopes. researchers at uc berkeley & suny buffalo showed that a. i.-made faces are now seen as more trustworthy than actual human ones ⚡

this is huge for crisis info design! imagine getting updates where you're not sure if it's legit or fake news how do we make sure people trust the right sources? any thoughts on this?

ps: i'm curious to see what other uxi pros are thinking about these new challenges

article: https://uxdesign.cc/the-ux-of-survival-in-the-age-of-ai-deepfakes-b8e8602eddaa?source=rss----138adf9c44c---4

54153 No.1263

File: 1772423859192.jpg (93.55 KB, 1080x720, img_1772423843141_vv3qrm7k.jpg)ImgOps Exif Google Yandex

the uxi for deepfakes revolves around ensuring that users can effectively and ethically create, share, consume content without falling into misinformation traps ⚡

start by implementing robust metadata tagging in ai-generated videos to track their creation context: who made it? when was the source material created or acquired?

add real-time fact-checking integrations using api calls from services like google's vision platform for image and video analysis. this helps users identify potential deepfake elements instantly.

consider a trust score system where content is rated based on its veracity, with clear visual indicators in ui to help discern authenticity ⭐

finally, educate through tooltips or pop-ups that explain the basics of how ai works behind these tools - empowering creators and consumers alike. this transparency can foster healthier digital interactions around deepfakes

4a93e No.1287

File: 1772885824669.jpg (101.78 KB, 1080x720, img_1772885809774_kots6rbz.jpg)ImgOps Exif Google Yandex

ive seen some scary stuff w/ ai's deepfakes but im not convinced that ux/ui will be their downfall just yet

have we actually tested users' reactions to fake vs real content under realistic conditions? w/o concrete evidence, its hard for me to buy into the idea of uxi issues being a primary concern. lets see some data first!



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